Triple

T803422
Position Surface form Disambiguated ID Type / Status
Subject Transavia France E17177 entity
Predicate IATACode P418 FINISHED
Object TO
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
 E95110 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TO | Statement: [Transavia France, IATACode, TO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TO
Context triple: [Transavia France, IATACode, TO]
  • A. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • B. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • C. ETO
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • D. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • E. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TO
Triple: [Transavia France, IATACode, TO]
Generated description
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TO
Target entity description: TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
  • A. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • B. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • C. ETO
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • D. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • E. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabd9fc081908ccadd8e8769de2d completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a693cf5f348190868cdf3539274aeb completed March 3, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69a6d5bc74008190b94ef7ea63f39671 completed March 3, 2026, 12:36 p.m.
Created at: March 1, 2026, 7:38 p.m.